The Scrum Master problem did not start with AI


Sometimes you can tell how an organization understands agility before you talk to anyone.

Just read the Scrum Master job description.

If it says Scrum Master / Project Manager, velocity reporting, KPI tracking, meeting moderation, backlog management, and “ensure the team delivers,” you already know a lot.

You know the organization probably wants the language of Scrum without the deeper change.

That is what today’s article is about.

AI is not really the thing reducing the Scrum Master role. Many organizations already did that. AI just makes the reduced version easier to see, because summaries, reminders, tickets, reports, and action items are exactly the kind of work software is getting better at.

The harder work is different.

Helping a team speak honestly. Helping managers release the wrong kind of control. Making hidden impediments visible. Challenging the systems that create dependencies faster than teams can manage them. Helping people learn instead of just report progress.

That work is much harder to automate.

But many organizations never really allowed Scrum Masters to do it.

That is the uncomfortable part.

I would love to hear from you:

What is the worst Scrum Master job description you have seen?

Or maybe more interesting:

Where have you seen a Scrum Master blamed for low impact while the organization prevented them from touching the real impediments?


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The Agile Compass

How to create high-performing teams, innovative products and lead thriving businesses? The Agile Compass shares hands-on knowledge from 20+ years of experience in industries worldwide. Matthias is a Silicon Valley veteran and has been awarded the Agile Thought Leader award in 2022. His unique approach focuses on the human side of creating thriving organizations.

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